code: def prec_to_partial(precision):
      """Return partial correlation matrix for a given precision matrix.
  
      Parameters
      ----------
      precision : 2D numpy.ndarray
          The input precision matrix.
  
      Returns
      -------
      partial_correlation : 2D numpy.ndarray
          The 2D output partial correlation matrix.
  
      """
      partial_correlation = -cov_to_corr(precision)
      np.fill_diagonal(partial_correlation, 1.0)
      return partial_correlation
  
imports: import warnings
  from math import floor, sqrt
  import numpy
  from scipy import linalg
  from sklearn.base import BaseEstimator, TransformerMixin, clone
  from sklearn.covariance import LedoitWolf
  from nilearn._utils.docs import fill_doc
  from ..None import signal
  from .._utils.extmath import is_spd
label_desc: Use image node_id 9 for calling a global function with example usage: prec_to_partial(precision) and returns: partial_correlation